• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
01
December

Summary of Degree Programme

Field of Studies

01.04.02 Applied Mathematics and Informatics

Approved by
27.09.2020
Last Update
29.09.2020
Network Programme

No

Length of Studies, Mode of Studies, Credit Load

2 years

Distant Mode, 120

Language of Instruction

ENG

Instruction in English

Track(s)
Data Scientist, Machine Learning Engineer, Researcher in Data Science
Degree Level

Master

Double-degree Programme

No

Competitive Advantages
Professional Activities and Competencies of Programme Graduates

Graduates can start or continue their career in the fields like data science, machine learning, analytics and apply for Junior Data Scientist or Junior Machine Learning Engineer positions. Besides, graduates can continue their academic career as PhD students and do research in the field of data science.

Programme Modules

In the framework of the programme students can choose one out of three tracks - two of them are industry relevant which aim to prepare students for specific positions, and one is for research goals:

From the beginning of the first semester students learn programming (Python, SQL), algorithms and data structures, mathematics for data analysis. The programming and math blocks end up with the project on collecting and processing big data. In the second semester students choose a Track.

Apart from standard courses which combine theory and practice, there are also 2 project courses: Machine Learning and Final Project (Master’s Thesis which can be devoted to practical or research problems). 

In order to complete the programme successfully, students must earn 120 ECTS credits. The learning process is offered fully online and is monitored by standard tools for online education: daily communication on forums and during the webinars, exams with proctoring, projects and thesis defense via Zoom.

 

Options for Students with Disabilities

This degree programme of HSE University is adapted for students with special educational needs (SEN) and disabilities. Special assistive technology and teaching aids are used for collective and individual learning of students with SEN and disabilities. The specific adaptive features of the programme are listed in each subject's full syllabus and are available to students through the online Learning Management System.

Programme Documentation

All documents of the degree programme are stored electronically on this website. Curricula, calendar plans, and syllabi are developed and approved electronically in corporate information systems. Their current versions are automatically published on the website of the degree programme. Up-to-date teaching and learning guides, assessment tools, and other relevant documents are stored on the website of the degree programme in accordance with the local regulatory acts of HSE University.

I hereby confirm that the degree programme documents posted on this website are fully up-to-date.

Vice Rector Sergey Yu. Roshchin

Summary of Degree Programme 'Master of Data Science'

Go to Programme Contents and Structure